When Two Case Bases Are Better Than One: Exploiting Multiple Case Bases
(pdf
)
David B. Leake and Raja Sooriamurthi. Case-Based Reasoning
Research and Development: Proceedings of the Fourth International
Conference on Case-Based Reasoning, ICCBR-01, Springer-Verlag,
Berlin. In press. 15 pages.
Abstract
Much current CBR research focuses on how to compact, refine, and
augment the contents of individual case bases, in order to distill
needed information into a single concise and authoritative source.
However, as deployed case-based reasoning systems become increasingly
prevalent, opportunities will arise for supplementing local case bases
on demand, by drawing on the case bases of other CBR systems
addressing related tasks. Taking full advantage of these case bases
will require multi-case-base reasoning: Reasoning not only about
how to apply cases, but also about when and how to draw on particular
case bases. This paper begins by considering tradeoffs of attempting
to merge individual case bases into a single source, versus retaining
them individually, and argues that retaining multiple case bases can
benefit both performance and maintenance. However, achieving the
benefits requires methods for case dispatching---deciding when
to retrieve from external case bases, and which case bases to
select---and for cross-case-base adaptation to revise suggested
solutions from one context to apply in another. The paper presents initial
experiments illustrating how these procedures may affect the benefits of
using multiple case bases, and closes by delineating key research
issues for multi-case-base reasoning.
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